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A Meta-Learning Method for Electric Machine Bearing Fault Diagnosis Under Varying Working Conditions With Limited Data

IEEE Transactions on Industrial Informatics, 2023
Effective detection of fault in rolling bearings with a limited amount of data is essential for the safe operation of electric machines. This article proposes a novel meta-learning-enabled method for the detection of fault in rolling bearings of electric
Jianjun Chen   +5 more
semanticscholar   +1 more source

Intelligent Fault Diagnosis of Gearbox Under Variable Working Conditions With Adaptive Intraclass and Interclass Convolutional Neural Network

IEEE Transactions on Neural Networks and Learning Systems, 2022
The industrial gearboxes usually work in harsh and variable conditions, which results in partial failure of gears or bearings. Accordingly, the continuous irregular fluctuations of gearbox under variable conditions maybe increase the intraclass ...
Xiaoli Zhao   +6 more
semanticscholar   +1 more source

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